Top Research Jobs in Calgary

As an Associate in Power & Renewables, you'll manage client inquiries, lead presentations on market analysis, and design research models to inform power markets and investor decisions.

The Research Analyst supports local data gathering and market analysis, providing insights for business development and producing research deliverables.

The role involves designing and implementing machine learning systems for knowledge representation and temporal reasoning, focusing on organizational intelligence. Responsibilities include building LLM-powered pipelines, developing memory algorithms, and researching various ML techniques.

The Research & Development Clinical Pathologist will collaborate on innovative solutions in veterinary medicine, leveraging technology and clinical pathology expertise.

The EEG Research Sales Account Manager will manage customer relationships, provide support, and facilitate sales with researchers and pharmaceutical companies. The role involves understanding research products and creating Jira tickets for issue resolution.

As an AI Research Engineer, you'll implement image and video generation models, manage training pipelines, and optimize performance while collaborating with researchers.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

As an Applied Research Engineer, you will develop AI systems, design measurement techniques, and enhance human data for machine learning applications.

The Research Manager leads market research projects, manages teams, and ensures delivery of insights that drive client decisions in healthcare sector.

The role focuses on advancing AI voice agents through research in LLMs and audio models. Responsibilities include model prototyping, evaluation, and collaboration with engineering to bridge research and production systems.

The Forward Deployed Research Scientist engages directly with AI labs to develop data strategies, fine-tune models, run experiments, and collaborate on publishing research, all in a fast-paced client-focused setting.

The Research Assistant is responsible for supporting site activities, managing communications, data entry, and assisting with study-related tasks on various projects.

The Analyst role at Toyota Ventures involves sourcing and screening startups, conducting due diligence, drafting investment memos, and analyzing industry trends.

The Software Developer will design optimization software, develop features, analyze algorithms, and collaborate with R&D teams to enhance product quality.

Oversee and monitor clinical trial sites to ensure GCP and protocol compliance, conduct site visits, resolve issues, ensure data integrity, train site staff and CRAs, collaborate with cross-functional teams, and maintain stakeholder relationships to support trial execution.

The Imaging Research Associate will support research by preparing biological samples, operating microscopy systems, collaborating on imaging protocols, and developing sample preparation methods.

This internship involves developing machine learning approaches for biological data, designing experiments, collaborating on research, and presenting findings.

The Senior Research Software Developer leads initiatives in image processing algorithms and collaborates on validation strategies for regulatory and research goals, guiding software development teams.

As a Research Engineer in Sensor Simulation, you will develop multi-sensor rendering systems for self-driving technologies, collaborate with scientists and engineers, and work on innovative solutions using machine learning and neural rendering techniques.

The Clinical Research Associate will coordinate clinical trials, ensuring compliance, collecting data, and maintaining study documentation while fostering relationships with stakeholders.

The Research Engineer, Infrastructure will build distributed training systems, optimize performance, manage data pipelines, and enhance research workflows, ensuring the infrastructure scales with AI advancements.

The role involves designing data strategies, developing scalable pipelines for human labeling, and researching human preferences for data-driven AI model enhancements. It includes publishing research and improving model alignment and efficacy through human and synthetic data techniques.

Lead development of scalable molecular dynamics pipelines, integrating physics-based models with machine learning frameworks to enhance molecular engineering and experimentations.

The Research Platform Scientist will build high-efficiency experimental pipelines, collaborating with scientists and engineers to enhance throughput in molecular biology efforts.

The ML Research Scientist will design Bayesian optimization frameworks, collaborate with lab scientists, and integrate ML models with experimental data.